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Barus, Rizky
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Computer Science & IT Library & Information Science

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Penggunaan Algoritma Komputasi untuk Analisis Sederhana Data DNA dalam Studi Bioinformatika Nur Rizky, Ishlahiyah; Prahasti, Rosa; Selina, Natria; Barus, Rizky
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 1 (2025): Januari 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i1.163

Abstract

Advances in computational technology and bioinformatics have enabled efficient and accurate DNA (Deoxyribo Nucleic Acid) data analysis. This study explores computational algorithm utilization for simple DNA data analysis in bioinformatics. We implemented basic algorithms (sequence sequence, pattern matching, clustering) using Python and Biopython library to analyze 500 DNA sequence samples from various model organisms. Results show computational algorithms accelerate analysis by 70% compared to manual methods, achieving 95% accuracy in identifying sequence patterns and structural similarities. Performance analysis reveals dynamic programming-based sequence sequence has O(mn) time complexity, while hierarchical clustering requires O(n²) computational time. This study highlights optimization needs for large-scale Dataset s and parameter adjustments for specific cases. Computational algorithms prove effective in supporting simple DNA data analysis, paving the way for developing complex bioinformatics tools.
Co-Authors Nur Rizky, Ishlahiyah Prahasti, Rosa Selina, Natria